7 Cd Packaging Jobs nearby Ratnagiri

As a Release and DevOps Engineer at our company, you will play a crucial role in managing the build, packaging, and deployment of software applications across different environments. Your primary focus will be on Continuous Integration and Continuous Delivery (CI/CD) to develop and maintain automated pipelines that enhance software delivery and system reliability. You will collaborate closely with development, QA, and operations teams to ensure the timely and high-quality release of software products. Key Responsibilities: - Coordinate all aspects of the software release lifecycle, including planning, scheduling, execution, and communication across staging and production environments. Conduct release readiness meetings and facilitate go/no-go decision points with stakeholders. - Automate build, test, and deployment processes for various environments (dev, staging, production). - Implement deployment strategies such as blue/green and canary to minimize risks. - Create and maintain CI/CD pipelines utilizing tools like Bamboo, Bitbucket, GitLab, Azure DevOps, or similar platforms. - Monitor and troubleshoot pipeline failures and release-related issues. - Collaborate with security and compliance teams to integrate security scanning into pipelines (DevSecOps). - Manage version control, branching, and merging strategies using Git. - Work with development, QA, operations, and product teams to plan and execute release schedules. - Ensure release plans include proper documentation, approvals, and compliance requirements. - Verify that releases adhere to best practices, security standards, compliance regulations, and rollback procedures. - Monitor application performance and health post-deployment using monitoring tools like New Relic or Datadog. - Continuously enhance release processes through automation and tooling improvements. Track and report release metrics, including success rates, issues, and rollback incidents. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). - Minimum of 8 years of overall experience with at least 3 years of hands-on DevOps experience focusing on CI/CD. - Preferably have prior experience as a software engineer. - Proficiency in pipeline automation and scripting. - Strong knowledge of version control systems, particularly Git. - Thorough understanding of the software development lifecycle (SDLC). - Familiarity with cloud platforms like AWS and a solid grasp of containerization using Docker and Kubernetes. Please note that applicants may need to attend an onsite interview at a Wolters Kluwer office as part of the recruitment process.,

Role Overview: You will be joining Mondelz International's Data COE as a Software Engineering Capability Tech Lead. Your main responsibility will be to define and implement software engineering best practices, frameworks, and tools that support scalable data ingestion and engineering processes. This role involves building robust backend services and intuitive front-end interfaces to enable self-service, observability, and governance in data pipelines across the enterprise. Key Responsibilities: - Lead the development of reusable software components, libraries, and frameworks for data ingestion, transformation, and orchestration. - Design and implement intuitive user interfaces (dashboards, developer portals, workflow managers) using React.js and modern frontend technologies. - Develop backend APIs and services to support data engineering tools and platforms. - Define and enforce software engineering standards and practices across the Data COE for developing and maintaining data products. - Collaborate closely with data engineers, platform engineers, and other COE leads to gather requirements and build fit-for-purpose engineering tools. - Integrate observability and monitoring features into data pipeline tooling. - Lead evaluations and implementations of tools to support continuous integration, testing, deployment, and performance monitoring. - Mentor and support engineering teams in using the frameworks and tools developed. Qualifications: - Bachelors or masters degree in computer science, Engineering, or related discipline. - 12+ years of full-stack software engineering experience, with at least 3 years in data engineering, platform, or infrastructure roles. - Strong expertise in front-end development with React.js and component-based architecture. - Backend development experience in Python with exposure to microservices architecture FAST APIs and RESTful APIs. - Experience working with data engineering tools such as Apache Airflow, Kafka, Spark, Delta Lake, and DBT. - Familiarity with GCP cloud platforms, containerization (Docker, Kubernetes), and DevOps practices. - Strong understanding of CI/CD pipelines, testing frameworks, and software observability. - Ability to work cross-functionally and influence without direct authority. Additional Details: Mondelz International is a global company with a purpose to empower people to snack right by offering a wide range of delicious, high-quality snacks made with sustainable ingredients and packaging. They have a rich portfolio of strong brands globally and locally, including Oreo, Cadbury Dairy Milk, Sour Patch Kids, and more. With over 80,000 employees in more than 80 countries, Mondelz International is committed to growth, diversity, and making a positive impact. Note: Optional Skills, Tools, and Technologies sections have been omitted from the Job Description as they are not directly related to the role of Data COE Software Engineering Capability Tech Lead.,

You are seeking a skilled Power BI Developer with strong expertise in data Analytics, data Science, SQL, database management, and Python to join the team. You will be responsible for designing and developing interactive dashboards, reports, conducting advanced analytics, and data models, while also contributing to data automation, transformation, data-driver decision making and integration tasks. - Design, develop, and maintain Power BI dashboards and reports with focus on storytelling, performance, and usability to deliver actionable insights. - Work with client/Program Managers to gather requirements and transform them into analytics solutions by collecting, transforming, and analyzing large datasets from multiple industries (e.g., food production, packaging, CPG). - Organize and clean massive amounts of sales and operational data using Python (pandas, NumPy), Power Query, and Excel. - Build end-to-end automated data pipelines for API-based extraction, web scraping, and scheduled refreshes. - Develop scalable dashboards and reports in Power BI, including data modeling, DAX measures, and visual storytelling for client decision-making. - Optimize methods to interpret and validate insights that assist clients with demand planning, supply chain optimization, and business decisions. - Support Program Managers/Principals in preparing and presenting findings to global clients. - Write complex SQL queries to extract, transform, and optimize data from multiple sources. - Build and optimize data models for reporting and analytics. - Develop Python scripts for data transformation, automation, and integration with BI solutions. - Integrate data from multiple sources (databases, APIs, flat files, cloud platforms) into a unified reporting layer. - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Apply data science and AI/ML techniques (regression, clustering, classification, forecasting, etc.) to solve complex business problems. - Ensure data accuracy, performance optimization, and security in reporting solutions. - Monitor and troubleshoot Power BI datasets, dataflows, and scheduled refreshes. - Stay updated with the latest Power BI features, Python libraries, and database technologies. Requirements/Qualifications: - 2+ years proven experience as a Power BI Developer (hands-on with DAX, Power Query, data modeling). - Strong proficiency in SQL (queries, stored procedures, performance tuning). - Deep understanding of relational databases (e.g., SQL Server, MySQL, PostgreSQL, Oracle). - Proficiency in Python for data analysis, ETL, or automation tasks. - Familiarity with ETL tools and data integration processes. - Strong analytical, problem-solving, and communication skills. - Bachelor's degree in Computer Science, Information Technology, or related field. Preferred/Nice to have Skills: - Experience with Azure Cloud, Data Factory. - Familiarity with AI/ML model deployment and integration with Power BI. - Knowledge of Supply Chain domain is a plus. - Exposure to DevOps, CI/CD for Analytics, and Git version control.,

As a Manager EWM Consultant at EY, you will have the opportunity to utilize your 7-11 years of SAP experience, with a minimum of 3+ years focused on SAP Extended Warehouse Management. You will play a crucial role in implementing full life cycle projects in SAP EWM, including Requirement Gathering/Business Blue Printing. Your expertise in SAP Mobile Technologies, such as SAP Console/ITS Mobile/RFID, will be essential in designing Radio Frequency Framework Solutions. Additionally, your strong knowledge in SAP ERP modules like SD/MM/WM will be beneficial in executing outbound, inbound, and internal processes in SAP EWM, including VAS, Quality Inspections, Wave Management, Physical Inventory, and Posting Changes. Your responsibilities will include creating Master Data such as Packaging Specifications and Warehouse Organizational Structures, configuring/modifying Post Processing Framework in SAP EWM, and setting up system integrations between SAP ERP and SAP EWM. You will also be involved in implementing Labour Management, Yard Management, and Cross Docking in EWM, as well as developing interfaces using RFC/ALE/IDoc/Web Services. Your role will require analysis, design, development, testing, and documentation of solutions, while adhering to an onsite-offshore delivery model and CMMI standards. In terms of qualifications, you should hold a Bachelor's or Master's degree and possess certification in SAP EWM. Proficiency in communication, team leadership, problem-solving, and analytical skills are crucial for success in this role. As part of the EY GDS-SAP EWM Technical Team, you will work on client problem-solving and provide End-to-End solutions, collaborating with high-quality teams globally. Your tasks will include ABAP objects development in SAP Modules like EWM, application of OSS notes, and adherence to SAP ASAP methodology. Furthermore, you will design, develop, and code complex programs for SAP EWM, conduct solution architecting workshops, and work effectively with project teams and users. To qualify for this role, you should have a bachelor's degree, at least 7-11 years of total work experience in SAP, and a minimum of 3 years as a Technical ABAP Consultant in SAP EWM Projects. Additionally, practical knowledge of CIF, DRF, MFS, EWM Label Zebra Printers, and ABAP on HANA concepts would be beneficial. Joining EY as a Manager EWM Consultant offers the opportunity to work in a diverse, inclusive culture and be part of a global team dedicated to building a better working world.,

You are being sought after to join the team of a globally recognized video game company as a DevOps Engineer. Your role will involve designing, implementing, and maintaining automated CI/CD pipelines, managing continuous integration tools like Jenkins, version control with Git, orchestrating services in Docker and Swarm, automating processes with C#, monitoring and diagnosing production and staging environments, participating in infrastructure design and scaling for online video game services, collaborating with development teams, and being on call when necessary. **Key Responsibilities:** - Design, implement, and maintain automated CI/CD pipelines (build, test, deploy). - Manage continuous integration tools like Jenkins, including scripting and advanced configuration. - Control versioning with Git (branching strategies, hooks, integrations). - Orchestrate services in Docker and Swarm (or similar tools). - Automate processes with C#: build generation, packaging, deployments. - Monitor and diagnose production and staging environments (alerts, logging, recovery). - Participate in the design and scaling of backend infrastructure for online video game services. - Collaborate with development teams ensuring good DevOps practices and infrastructure as code. - Participate in on-call rotations when necessary. **Minimum Requirements:** - Bachelor's degree in Systems Engineering, Computer Science, or related fields (or equivalent experience). - Minimum 5 years of experience as a DevOps Engineer or similar roles. - Advanced proficiency in Jenkins (pipeline scripting, complex jobs). - Experience with Git, Docker, and Docker Swarm-like orchestrators. - Strong knowledge of automation with C#. - Fluent technical English (oral and written). - Problem-solving skills in distributed systems and production environments. - Collaborative profile, with a mindset to automate wherever possible. **Desired Skills:** - Experience in the video game industry (online services, game builds). - Knowledge of Kubernetes, Terraform, Ansible, or CloudFormation. - Experience with AWS, Azure, or GCP. - Knowledge in DevOps/DevSecOps security and real-time systems. - Participation or contributions to open-source projects. If you reside in Mendoza or are interested in being part of an international project with cutting-edge technology and a gamer spirit, this opportunity is for you!,

As a Salesforce Release Manager at NTT DATA, your role will involve designing, building, and maintaining CI/CD pipelines to streamline release processes and reduce deployment errors across multiple systems. You will be responsible for managing the end-to-end release lifecycle, including build management, validation, packaging, deployment, and post-release monitoring. Collaboration with development, QA, and operations teams will be crucial to ensure smooth and timely releases aligned with project timelines. Implementing DevOps best practices like automated testing, continuous integration, and delivery across multiple environments will be a key part of your responsibilities. You will also manage source control systems such as Git, Bitbucket, Azure Repos, and ensure proper branching, merging, and version management strategies. Integrating and maintaining DevOps tools like Jenkins, GitLab CI/CD, Azure DevOps, or Copado to automate and manage the deployment process will also be part of your role. Monitoring release performance, identifying bottlenecks, and driving continuous improvement in automation and deployment efficiency will be essential tasks. Coordinating with Salesforce development teams for environment setup, sandbox refreshes, and release readiness activities will also fall under your purview. Additionally, you will manage metadata and configuration deployments within Salesforce to ensure stability and consistency across environments. Troubleshooting deployment failures, performing root-cause analysis, and implementing corrective actions will be critical to your success in this role. Qualifications Required: - 5+ years of total IT experience, with a strong background in release management and automation for enterprise applications. - Expert (Master-level) proficiency in DevOps, capable of supervising, instructing, and guiding teams in CI/CD automation, infrastructure management, and continuous delivery practices. - Proven hands-on experience with DevOps tools such as Jenkins, Git, Bitbucket, Azure DevOps, GitHub Actions, or GitLab CI/CD for build automation and deployment orchestration. - Strong knowledge of version control systems, including branching models, merging conflict resolution, and release tagging. - Intermediate (Can do with supervision) proficiency in Salesforce, with experience in deploying metadata, managing environments, and supporting Salesforce release cycles using tools such as Salesforce CLI, ANT migration tool, or SFDX. - Understanding environment management, sandbox strategy, and data seeding in Salesforce or similar enterprise platforms. - Experience automating deployments, managing artifacts, and maintaining scalable CI/CD pipelines across multiple environments. - Familiarity with infrastructure as code (IaC) concepts, containerization (Docker, Kubernetes), or cloud platforms (AWS, Azure) is a plus. - Strong understanding of Agile methodologies and the ability to align release schedules with sprint and project milestones. - Excellent problem-solving, analytical, and documentation skills with attention to detail. - Strong interpersonal and communication skills to collaborate effectively across global, cross-functional teams. NTT DATA is a $30 billion trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries, NTT DATA provides business and technology consulting, data and artificial intelligence solutions, industry expertise, and application development, implementation, and management services. As a leading provider of digital and AI infrastructure globally, NTT DATA is dedicated to helping organizations and society move confidently and sustainably into the digital future.,

As a hands-on ML Engineer at Phonologies, your role involves bridging data engineering and machine learning to design and implement production-ready ML pipelines that are reliable, scalable, and automation-driven. You will be responsible for owning the end-to-end workflow, from data transformation and pipeline design to model packaging, fine-tuning preparation, and deployment automation. This is a data-focused engineering position that requires a deep understanding of ML systems, building robust data workflows, and developing platforms that power AI in production. **Key Responsibilities:** - Design, deploy, and maintain end-to-end ML pipelines. - Build data transformation tiers (Bronze, Silver, Gold) to enable structured, reusable workflows. - Automate retraining, validation, and deployment using Airflow, Kubeflow, or equivalent tools. - Implement Rules-Based Access Control (RBAC) and enterprise-grade authorization. - Develop robust APIs for model serving, metadata access, and pipeline orchestration. - Participate in platform design and architecture reviews, contributing to scalable ML system blueprints. - Create monitoring and observability frameworks for performance and reliability. - Deploy pipelines across cloud (AWS, Azure, GCP) and on-prem environments, ensuring scalability and reproducibility. - Collaborate with DevOps and platform teams to optimize compute, storage, and workflow orchestration. - Work with Data Scientists to productionize models, and with Data Engineers to optimize feature pipelines. - Integrate Firebase workflows or data event triggers where required. **Qualifications Required:** - Experience of 5+ years in Data Engineering or ML Engineering. - Proven experience in building data workflows and ML pipelines, packaging and deploying models using Docker & CI/CD, and designing platform and API architecture for ML systems. **Additional Details (if present in the original JD):** Phonologies is looking for candidates with a Bachelors or Masters in Computer Science, Machine Learning, or Information Systems. Strong technical skills in Python, SQL, scikit-learn, XGBoost, LightGBM, along with expertise in data engineering, cloud pipelines, data streaming, ML lifecycle, API & platform development, data governance, privacy, security, access control, AutoML, and model monitoring & automation are highly preferred. Effective communication and collaboration skills, including translating technical concepts and business storytelling, are key for this role.,

Role Overview: As a Software Engineer for the Secure Flow Build Team in Bangalore, India, you will play a crucial role in developing and improving services that provide build capabilities for Java-based applications in Red Hat's product delivery pipeline named Konflux. You will collaborate with global teams to automate processes, maintain infrastructure, monitor and troubleshoot application performance, and continuously improve build processes. Key Responsibilities: - Design, develop, maintain, and enhance services offering build capabilities for Java-based applications - Automate processes by developing, maintaining, and enhancing CI/CD pipelines and automating build, test, and deployment processes - Collaborate with development, QA, and operations teams to ensure seamless integration and resolve build-related issues - Manage configuration management and build systems to ensure consistency and efficiency - Monitor the build process and application performance, and troubleshoot any deployment issues - Create and maintain documentation for build processes, including release notes and technical guides - Continuously improve build processes, implement best practices, and stay updated with industry trends and technologies - Utilize internal tools like Jira and Slack for task management and collaboration - Ensure the security and integrity of the software supply chain Qualifications Required: - 2+ years of experience developing, packaging, and releasing Java software with Maven - 2+ years of experience writing and maintaining CI/CD pipelines for Java applications (e.g., Jenkins, GitHub Actions) - Experience managing or integrating with Maven repositories (e.g., JFrog Artifactory, Sonatype Nexus) - Proficiency in using Git and a git-based source code manager (GitHub, GitLab, Atlassian BitBucket, etc.) - Solid understanding of cloud computing and technologies (e.g., OpenShift, Kubernetes, Tekton) - Experience with Tekton or Argo Workflows - Familiarity with the Linux platform - Excellent problem-solving skills and attention to detail - Experience with Agile methodologies Additional Company Details: The job may involve working with cutting-edge technologies and contributing to open source projects, making it an exciting opportunity for those interested in AI technologies.,

As a Full-Stack Developer at our company, you will be responsible for designing and delivering modern, scalable applications that integrate seamlessly with the Databricks Lakehouse platform. Your key responsibilities will include: - Developing interactive, user-friendly React frontends inside Databricks Apps. - Building and maintaining Python backends using FastAPI/Flask, integrated with Databricks SQL endpoints. - Writing secure, parameterized queries against Delta Lake tables via Unity Catalog. - Designing and exposing REST APIs that serve curated data and support interactive UI workflows. - Collaborating with Databricks engineers to connect front-end workflows with data pipelines. - Implementing authentication and authorization flows (SSO, OAuth, token management). - Working with CI/CD pipelines (GitHub Actions/Azure DevOps) to deploy applications across DEV/QA/PROD. - Optimizing for performance, scalability, and cost efficiency in Databricks. The qualifications required for this role include: - Strong React expertise (Hooks, Context API, state management). - Proficiency in UI frameworks such as TailwindCSS, Material Ui, etc. - Experience with data visualization libraries like Recharts, D3, Plotly. - Knowledge of API integration and async data handling. - Strong Python development skills with FastAPI/Flask. - Experience writing APIs that query Databricks SQL endpoints. - Proficiency in SQL, parameterized queries, and performance tuning. - Experience integrating with Databricks REST APIs/SDKs for jobs, clusters, secrets, and Unity Catalog. - Understanding of Delta Lake and Unity Catalog for governance and secure data access. - Familiarity with Databricks Apps SDK, lifecycle, and deployment. - Knowledge of GitHub Actions, Azure DevOps, or similar CI/CD pipelines. - Docker knowledge for packaging backend services. - Awareness of cloud IAM, networking, and secrets management. Additionally, exposure to PySpark for advanced transformations, knowledge of healthcare or data compliance domains (HIPAA/PHI), experience with observability tools (Dynatrace, Datadog, Prometheus, ELK, Open Telemetry), and Agile experience would be considered as preferred or nice-to-have qualifications for this role.,

As a SaaS DevOps Engineer at Cisco, you will play a crucial role in maintaining the reliability and availability of SaaS platforms to meet customer expectations. Your responsibilities will include: - Building and maintaining CI/CD pipelines using industry-standard tools for smooth and automated deployments. - Utilizing Git tools for efficient code repository management and fostering collaboration among teams. - Planning and managing releases, assessing their impact on Continuous Deployment (CD). - Implementing and overseeing feature flagging systems to facilitate controlled rollouts and reduce production risks. - Designing and deploying high-availability (HA) systems across multi-region environments to ensure minimal downtime and maximal uptime. - Leveraging Helm, Docker, and other packaging tools to streamline deployment workflows and containerization. - Developing processes for live system upgrades and rollbacks to minimize customer impact during updates. - Monitoring running systems through telemetry data to ensure optimal performance and cost-effective operations. - Creating and managing support bundle tools for efficient issue diagnosis and troubleshooting in customer environments. - Planning and executing the release of SaaS solutions to on-premise environments for customers with hybrid or private cloud needs. - Managing the utilization of AI agents in CI/CD pipelines to enhance effectiveness and value for customers. - Collaborating with customer support teams to address operational and infrastructure-related issues effectively. Qualifications Required: - Proficiency in Python and other scripting languages. - Strong familiarity with CI/CD tools like Jenkins, GitLab CI, CircleCI, or similar platforms. - Extensive experience with Git tools and workflows for version control and collaboration. - Expertise in packaging and deployment tools, including Helm and Docker. - Knowledge of feature flagging systems and their impact on production environments. - Proven track record in designing and maintaining high-availability (HA) systems across multi-region environments. - Experience with live upgrades and rollback strategies for SaaS applications. - Strong understanding of metrics and telemetry for monitoring system performance and managing costs. - Familiarity with the use of agents in CI/CD pipelines and their role in enhancing customer support. - Exceptional problem-solving skills and a customer-centric mindset for troubleshooting and issue resolution. - Bachelor's degree or higher with 8-12 years of relevant engineering work experience. Preferred Qualifications: - Understanding of cost management strategies for SaaS applications, including insights based on telemetry. - Experience in planning and executing on-premise releases of SaaS solutions.,

Role Overview: You are sought after to be a hands-on AI/ML engineer responsible for designing, building, and producing Generative AI solutions including RAG pipelines and multi-agent systems to automate workflows and drive operational excellence. You will collaborate closely with solution/data architects, software developers, data engineers, and domain experts to rapidly prototype and deliver scalable, enterprise-grade systems. This individual contributor role requires strong research skills, deep expertise in AI foundation models, and the ability to translate cutting-edge concepts into impactful solutions for digital grid challenges. Key Responsibilities: - End-to-End GenAI Development: Design and implement RAG pipelines, agentic workflows, and LLM integrations for tasks such as document understanding, classification, and knowledge assistance. - Multi-Agent Orchestration: Build agent-based applications for planning, tool use, and execution using frameworks like LangGraph, Semantic Kernel, and prompt orchestration tools. - AI Enterprise Architecture: Strong Experience in AI architecture (scalable, modern, and secure) design across AI/ML enterprise solutions. - Data & MLOps Foundations: Architect data pipelines and cloud solutions for training, deployment, and monitoring on Azure/AWS with Docker, Kubernetes, and CI/CD. - Rapid Prototyping to Production: Convert problem statements into prototypes, iterate with stakeholders, and harden into production-ready microservices (FastAPI) with APIs and event-driven workflows. - Evaluation & Reliability: Define rigorous evaluation metrics for LLM/ML systems (accuracy, latency, cost, safety), optimize retrieval quality, prompt strategies, and agent policies. - Security & Compliance: Implement Responsible AI guardrails, data privacy, PII handling, access controls, and auditability. - Collaboration & Enablement: Partner with data engineers, mentor junior team members, and contribute to internal documentation and demos. Qualifications Required: - Education: Bachelors/masters in computer science, Data Science, Engineering, or equivalent experience - Experience: - 7-12 years delivering AI/ML, Data Science solutions in production. - 2-3 years focused on Generative AI/LLM applications. - Technical Skills: - Programming: Strong Python (typing, packaging, testing), data stacks (NumPy, Pandas, scikit-learn), API development (FastAPI/Flask). - GenAI Expertise: - Prompt engineering, RAG design (indexing, chunking, reranking). - Embeddings and vector databases (FAISS, Azure AI Search, Pinecone). - Agent frameworks (LangGraph, Semantic Kernel) and orchestration strategies. - Model selection/fine-tuning, cost-performance optimization, safety filters. - Cloud & Data: Hands-on with Azure/AWS; experience with Azure OpenAI, Azure AI Search, Microsoft Fabric/Databricks (preferred), Snowflake or similar DWH. - MLOps: Docker, Kubernetes, CI/CD (GitHub Actions/Gitlab), model deployment/monitoring. - Architecture: Microservices, event-driven design, API security, scalability, and resilience. - Soft Skills: - Excellent team player with the ability to work collaboratively in cross-functional and multicultural teams. - Strong communication skills able to explain complex technical ideas to non-technical stakeholders. - Adaptability to changing priorities and evolving technologies. - Problem-solving mindset with creativity, curiosity, and a proactive approach. - Time management & prioritization in fast-paced, iterative environments. - A mentoring attitude toward junior colleagues and an openness to receiving feedback. - Strong sense of ownership and accountability over deliverables. - Domain Knowledge: Experience applying AI/ML to power systems, electrical grids, or related domains.,

As an Infrastructure Automation Engineer at Voereir AB, you will play a crucial role in creating and managing container images, overseeing containerization processes, and automating packaging builds through CI/CD pipelines. Your responsibilities will include: - Creating and managing container images, focusing on migrating tools like Jenkins to container-based environments. - Overseeing backup and recovery processes for infrastructure and application resources. - Implementing and maintaining CI/CD pipelines for automating the packaging of image builds. - Collaborating with cross-functional teams to identify automation opportunities and implement solutions. - Troubleshooting and resolving issues related to automated provisioning, configuration, and operational management processes. - Leveraging knowledge of hardware-based management tools such as Dell iDRAC, HP iLO for hardware-level management and control. - Ensuring infrastructure automation follows security and best practices. - Documenting workflows, best practices, and troubleshooting procedures. Qualifications required for this role: - Proficiency in Ansible for automation, configuration management, and orchestration of infrastructure. - Experience with Terraform for infrastructure provisioning and management in the data center. - Familiarity with Kubernetes at a beginner level for provisioning, scaling, and troubleshooting. - Experience with scripting languages like Python and Bash for task automation and tooling. - Understanding of networking concepts such as IP addressing, subnets, DNS, routing, and firewalls. - Experience with CI/CD tools like Jenkins, GitLab CI/CD, Argo CD. - Understanding of monitoring tools like Prometheus and Grafana. - Experience with version control systems like Git. - Knowledge of hardware-based management tools such as Dell iDRAC, HP iLO. - Knowledge of cloud platforms like AWS, Azure, GCP is a plus. - Proficient verbal and written communication skills. - Highly driven, positive attitude, team player, self-learning, self-motivating, and flexible. - Strong customer focus, networking, and relationship management skills. - Creative and innovative mindset, constantly seeking ways to enhance and optimize processes.,

As a Software Engineer at Nasuni, you will play a key role in developing and maintaining components of Nasuni's NAS appliance platform. You will have the opportunity to work on Linux systems programming using languages like C, C++, Python, and Bash. Your responsibilities will include assisting in writing and debugging Linux systems code, collaborating with senior engineers to resolve customer-reported issues, participating in design and code reviews, and contributing to build/release workflows. Additionally, you will have the chance to write automated tests and enhance the resilience of the infrastructure software. Key Responsibilities: - Develop and maintain components of Nasuni's NAS appliance platform - Write and debug Linux systems code - Investigate and resolve customer-reported issues with senior engineers - Participate in design reviews, code reviews, and daily standups - Write automated tests and contribute to build/release workflows Qualifications Required: - 1-4 years of experience in systems or infrastructure software development - Proficiency in Linux systems programming using C, C++, Python, and Bash - Basic understanding of OS internals such as processes, memory, filesystems, and networking - Willingness to learn about hypervisors, cloud platforms, and Linux-based appliance development - Strong problem-solving and debugging skills - Excellent communication and collaboration abilities It would be advantageous if you have exposure to cloud environments like AWS, Azure, or GCP, hands-on experience with Git, Jenkins, or CI/CD systems, knowledge of Linux packaging systems (rpm/yum), interest in open-source contributions or kernel development, and familiarity with PostgreSQL or similar databases. As Nasuni is starting an India Innovation Center in Hyderabad, you will have the opportunity to work in a hybrid work culture, spending 3 days a week in the office during core hours and 2 days working from home. Additionally, Nasuni offers competitive compensation programs, flexible time off and leave policies, comprehensive health and wellness coverage, hybrid and flexible work arrangements, employee referral and recognition programs, professional development and learning support, inclusive and collaborative team culture, modern office spaces with team events and perks, and retirement and statutory benefits as per Indian regulations. Please note that Nasuni does not accept agency resumes. Kindly refrain from forwarding resumes to job boards, Nasuni employees, or any other company location, as Nasuni is not responsible for any fees related to unsolicited resumes.,

Role Overview: You will be responsible for various design tasks including designing book covers, CD labels, DVD in-lay cards, packaging, marketing collaterals such as brochures, posters, fliers, sell sheets, catalogues, logo design for subsidiaries and imprints, layouts and composition of inner pages of picture books and illustrated books for children using typography, designing for websites and web pages, UI and UX designs for mobile applications. Additionally, you will need to maintain technical knowledge by attending design workshops, reviewing professional publications, and participating in professional societies. Key Responsibilities: - Design book covers, CD labels, DVD in-lay cards, and packaging - Create marketing collaterals like brochures, posters, fliers, sell sheets, and catalogues - Develop logos for subsidiaries and imprints - Layout and compose inner pages of picture books and illustrated books for children using typography - Design for websites and web pages - Create UI and UX designs for mobile applications Qualifications Required: - 3-8 years of experience in product design and graphic design - Proficiency in design software and tools - Strong understanding of typography and layout design - Ability to stay updated with the latest design trends and technologies - Excellent communication and teamwork skills (Note: No additional details about the company were provided in the job description.),

As a Senior Software Engineer in iOS & Cross-Platform Mobile Development at Prepaid Management Services, you will be part of a team dedicated to delivering innovative prepaid solutions globally. Your expertise in iOS mobile application development using Native (Swift/Objective-C), React Native, and Kotlin Multiplatform will be crucial in building high-quality, scalable mobile applications. Key Responsibilities: - Design, develop, and maintain iOS applications using Swift/Objective-C, React Native, and Kotlin Multiplatform. - Collaborate with cross-functional teams to define, design, and ship new features. - Ensure the performance, quality, and responsiveness of applications. - Write clean, maintainable, and testable code following best practices. - Participate in code reviews and mentor junior developers. - Work closely with product managers, designers, and QA to deliver high-quality mobile experiences. - Optimize applications for maximum performance and scalability. - Stay up to date with the latest mobile development trends and technologies. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - 5+ years of professional experience in mobile application development. - Strong proficiency in iOS Native development (Swift/Objective-C). - Hands-on experience with React Native and Kotlin Multiplatform Mobile (KMM). - Solid understanding of mobile UI/UX principles and best practices. - Experience with RESTful APIs, third-party libraries, and version control tools (e.g., Git). - Familiarity with CI/CD pipelines and mobile testing frameworks. Desirable: - SDLC support tools (ALM, Confluence, Sharepoint). - Experience using npm, and CSS. - Code packaging and publishing automation. - Financial services experience (Cards/PCI). Preferred/Nice to have Skills: - Basic knowledge of Android platform architecture and development. - Experience with the Android application release process (Play Store submission, signing, versioning). - Exposure to Agile/Scrum development methodologies. - Knowledge of performance tuning and memory management in mobile apps. Personal Qualities: - Flexible and Adaptable. - Excellent Problem Solver. - Strong Communication skills both verbal and written. - Self-Starter with Initiative. - Leadership and Mentorship skills. - Detail-Oriented and Quality-Focused. - Team-Oriented. - Ethical and Responsible.,

As a Backend Developer at our company located in Ahmedabad, Gujarat, you will be responsible for developing and maintaining robust, scalable, and secure backend services using Node.js and TypeScript. You will design and expose RESTful APIs with proper validation, logging, and monitoring hooks. Implement authentication and authorization flows using JWT, ADFS-based OAuth2/SSO integrations, and ensure consistent and self-documented APIs using the OpenAPI specification. Additionally, you will work on database management, Docker containers, GitLab CI/CD pipelines, reverse proxy setup, performance tuning, and system observability. **Key Responsibilities:** - Develop and maintain robust, scalable, and secure backend services using Node.js and TypeScript. - Design and expose RESTful APIs with proper validation, logging, and monitoring hooks. - Implement authentication and authorization flows using JWT, ADFS-based OAuth2/SSO integrations. - Maintain consistent and self-documented APIs using the OpenAPI specification. - Create and manage Docker containers for service packaging and environment consistency. - Set up, maintain, and optimize GitLab CI/CD pipelines for automated build, test, and deployment. - Collaborate with the infrastructure team on reverse proxy setup, security certificates, and internal routing. - Participate in debugging, performance tuning, and root-cause analysis of production issues. - Ensure system health and observability using log aggregation, metrics, and alerting tools. - Create detailed technical documentation and operational runbooks. **Requirements:** - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. - 2+ years of backend development experience using Node.js and related tools. - Solid understanding of HTTP protocols, security mechanisms, and REST principles. - Strong familiarity with OAuth2, JWT, and authentication systems like ADFS or SSO. - Practical experience with Docker, version control (Git), and CI/CD pipelines. - Able to read OpenAPI (Swagger) specs and implement endpoints accordingly. - Basic understanding of Linux-based server environments. - Comfortable working in an agile development environment. **Bonus Skills:** - Experience with infrastructure as code (e.g., Terraform). - Exposure to reverse proxy tools like Nginx, Traefik, or Apache HTTPD. - Familiarity with Active Directory Groups, permission mapping, and access controls. - Knowledge of logging and monitoring stacks such as Grafana, Prometheus, or Datadog. - Understanding of MultiValue platforms or terminal-based enterprise systems is a plus. You will be part of a dynamic team that offers a hybrid working culture, amazing perks, medical benefits, mentorship programs, certification courses, flexible work arrangements, free drinks, fridge, snacks, competitive salary, and recognitions. (Note: Additional details about the company were not provided in the job description.) As a Backend Developer at our company located in Ahmedabad, Gujarat, you will be responsible for developing and maintaining robust, scalable, and secure backend services using Node.js and TypeScript. You will design and expose RESTful APIs with proper validation, logging, and monitoring hooks. Implement authentication and authorization flows using JWT, ADFS-based OAuth2/SSO integrations, and ensure consistent and self-documented APIs using the OpenAPI specification. Additionally, you will work on database management, Docker containers, GitLab CI/CD pipelines, reverse proxy setup, performance tuning, and system observability. **Key Responsibilities:** - Develop and maintain robust, scalable, and secure backend services using Node.js and TypeScript. - Design and expose RESTful APIs with proper validation, logging, and monitoring hooks. - Implement authentication and authorization flows using JWT, ADFS-based OAuth2/SSO integrations. - Maintain consistent and self-documented APIs using the OpenAPI specification. - Create and manage Docker containers for service packaging and environment consistency. - Set up, maintain, and optimize GitLab CI/CD pipelines for automated build, test, and deployment. - Collaborate with the infrastructure team on reverse proxy setup, security certificates, and internal routing. - Participate in debugging, performance tuning, and root-cause analysis of production issues. - Ensure system health and observability using log aggregation, metrics, and alerting tools. - Create detailed technical documentation and operational runbooks. **Requirements:** - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. - 2+ years of backend development experience using Node.js and related tools. - Solid understanding of HTTP protocols, security mechanisms, and REST principles. - Strong familiarity with OAuth2, JWT, and authentication systems like ADFS or SSO. - Practical experience with Docker, version control (Git), and CI/CD pipelines. - Able to read OpenAPI (Swagger) sp

As a DevOps Engineer at Foxit, your primary responsibility will be to automate and secure Foxit's multi-cloud infrastructure to enable rapid, reliable, and compliant delivery of applications worldwide. You will be involved in various aspects of infrastructure automation, CI/CD optimization, cloud security, vulnerability management, observability, and AI-enabled operational efficiency. Key Responsibilities: - Deploy and maintain AWS infrastructure using Terraform with minimal guidance - Manage containerized workloads (Docker, Kubernetes EKS) and effectively use Helm for packaging and deployment - Implement deployment strategies independently such as blue-green, canary, and rolling updates - Develop and optimize automation scripts using Python and Bash for operational efficiency - Research and implement AI-driven tools to enhance log analysis and alert management - Optimize and troubleshoot CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) to ensure reliable delivery - Configure and manage monitoring using Datadog, CloudWatch, Azure Monitor, and implement log aggregation solutions - Perform comprehensive log analysis to identify performance issues, bottlenecks, and proactively resolve problems - Apply OWASP Top 10 principles in infrastructure configuration and deployment processes - Implement and maintain SAST and DAST tools in CI/CD pipelines - Configure and optimize WAF rules and network security controls - Execute vulnerability management lifecycle: scanning, assessment, prioritization, and remediation coordination Qualifications: Technical Skills (Required): - Languages: Solid scripting experience in Python and Bash; basic understanding of Java or PHP - Cloud Platforms: 1+ years hands-on experience with AWS (EC2, Lambda, S3, VPC, IAM) - Infrastructure as Code: Working proficiency in Terraform; CloudFormation knowledge preferred - Containerization: 1+ years production experience with Docker and Kubernetes (EKS/AKS); Helm chart creation and management - DevOps Practices: Proven experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI - Version Control: Expert-level Git workflow management and branching strategies - Linux/Unix: Strong command-line proficiency and system administration skills Technical Skills (Nice to Have): - Monitoring & Observability: Experience with DataDog, CloudWatch, Azure Monitor, or similar platforms - Security Tools: Familiarity with SAST/DAST tools, WAF configuration, and vulnerability scanners - Networking: Solid understanding of DNS, load balancers, VPNs, and network security concepts - Database Management: Experience with RDS, Azure SQL, or container-based database deployments Professional Experience: - 1-3 years in DevOps, site reliability engineering, or infrastructure-focused development with measurable impact on system reliability - Can independently manage staging infrastructure and resolving complex technical issues - Demonstrate ability to learn new technologies rapidly and implement them effectively in production environments - Possess strong analytical and troubleshooting skills with the ability to work independently - Excellent technical communication skills and collaborative mindset Education & Certifications: - Bachelor's degree in Computer Science, Engineering, or related field OR equivalent practical experience with demonstrable expertise - Good to have: AWS Certified Solutions Architect Associate or Certified Kubernetes Administrator Join Foxit to automate, scale, and secure systems that power millions and build smarter, faster, together.,

Role Overview: Join a hands-on team at Amgen building the next generation of AI-enabled Procurement. As a Senior Associate, Digital Intelligence & Enablement, you will play a crucial role in combining data engineering and Generative AI skills to transform use cases into reliable products. Your responsibilities will include developing and maintaining pipelines, implementing GenAI capabilities, shipping pilots, hardening for production, partnering with various teams, and documenting processes. Key Responsibilities: - Build the data backbone by developing and maintaining pipelines from ERP/P2P, CLM, supplier, AP, and external sources into governed, analytics/AI-ready datasets. - Implement GenAI capabilities such as retrieval-augmented generation, prompts/chains, and lightweight services/APIs for various procurement processes. - Ship pilots, measure value, and contribute to 8-12 week pilots with clear baselines, telemetry, and dashboards. - Harden the products for production by packaging code, automating CI/CD, adding evaluation and observability, and supporting incident triage. - Partner with category teams, AI/ML platform, IT Architecture, Security/Privacy, and vendors; produce clear runbooks and user guides. Qualifications Required: - 3+ years of experience in data engineering/analytics/ML engineering delivering production-grade pipelines and services. - Strong proficiency in SQL and Python; experience with ETL/ELT tools and cloud data platforms. - Practical exposure to GenAI/LLMs, APIs/integration, version control, testing, and CI/CD. - Clear communicator who collaborates effectively across business, data, and engineering teams. Additional Details: Amgen has been a pioneer in the biotech industry since 1980, focusing on four therapeutic areas - Oncology, Inflammation, General Medicine, and Rare Disease. The company's collaborative, innovative, and science-based culture offers employees the opportunity to make a lasting impact on the lives of patients while advancing their careers. Joining Amgen means transforming patient lives through innovative medicines and contributing to a global mission of serving patients living with serious illnesses. (Note: The additional details of the company have been included in the JD as per your request.) Role Overview: Join a hands-on team at Amgen building the next generation of AI-enabled Procurement. As a Senior Associate, Digital Intelligence & Enablement, you will play a crucial role in combining data engineering and Generative AI skills to transform use cases into reliable products. Your responsibilities will include developing and maintaining pipelines, implementing GenAI capabilities, shipping pilots, hardening for production, partnering with various teams, and documenting processes. Key Responsibilities: - Build the data backbone by developing and maintaining pipelines from ERP/P2P, CLM, supplier, AP, and external sources into governed, analytics/AI-ready datasets. - Implement GenAI capabilities such as retrieval-augmented generation, prompts/chains, and lightweight services/APIs for various procurement processes. - Ship pilots, measure value, and contribute to 8-12 week pilots with clear baselines, telemetry, and dashboards. - Harden the products for production by packaging code, automating CI/CD, adding evaluation and observability, and supporting incident triage. - Partner with category teams, AI/ML platform, IT Architecture, Security/Privacy, and vendors; produce clear runbooks and user guides. Qualifications Required: - 3+ years of experience in data engineering/analytics/ML engineering delivering production-grade pipelines and services. - Strong proficiency in SQL and Python; experience with ETL/ELT tools and cloud data platforms. - Practical exposure to GenAI/LLMs, APIs/integration, version control, testing, and CI/CD. - Clear communicator who collaborates effectively across business, data, and engineering teams. Additional Details: Amgen has been a pioneer in the biotech industry since 1980, focusing on four therapeutic areas - Oncology, Inflammation, General Medicine, and Rare Disease. The company's collaborative, innovative, and science-based culture offers employees the opportunity to make a lasting impact on the lives of patients while advancing their careers. Joining Amgen means transforming patient lives through innovative medicines and contributing to a global mission of serving patients living with serious illnesses. (Note: The additional details of the company have been included in the JD as per your request.)

As a Junior Mobile Developer in this role, you will have the exciting opportunity to contribute to the development and enhancement of modern mobile applications built on Flutter within a modular Super-App environment. You will work under the mentorship of senior developers and architects, gaining hands-on exposure to app design, coding standards, integrations, and performance tuning. Key Responsibilities: - Develop UI components, screens, and micro-modules in Flutter following established design and coding standards. - Assist in integrating backend APIs, authentication services, and third-party SDKs. - Participate in code reviews, testing, and performance optimization activities. - Collaborate closely with the Senior Mobile Developer and UX Designer to ensure smooth, user-friendly experiences. - Contribute to reusable components, style guides, and modular app design practices. - Support release activities, QA testing, and issue resolution across Android and iOS environments. - Stay updated with Flutter best practices, libraries, and version upgrades. Qualifications Required: - Mandatory technical skills: Flutter, REST APIs, Git. - Good to have technical skills: Firebase, GraphQL, Bloc/Provider state management, OAuth2/JWT, and analytics integration. - Understanding of app lifecycle, navigation patterns, and responsive design principles. - Familiarity with CI/CD concepts, app packaging, and deployment pipelines. Additional Company Details: - Prior experience in financial services, e-commerce, or tech startups is preferred. - Exposure to modular or multi-journey app development is an advantage. - The role offers a great learning environment with mentorship from experienced developers and architects.,

Role Overview: You will be a hands-on AI engineer responsible for designing, prototyping, and delivering generative AI capabilities. Your role will involve practical research, building POCs, fine-tuning open models, contributing to multimodal experiments, and assisting in taking solutions towards production. You will have the opportunity to rapidly learn modern and classical ML techniques. Key Responsibilities: - Build and evaluate prototypes / POCs for generative AI features and ideas. - Fine-tune and adapt open-source LLMs and smaller generative models for targeted use cases. - Collaborate on multimodal experiments involving text, image, and audio, and implement training/evaluation pipelines. - Implement data preprocessing, augmentation, and basic feature engineering for model inputs. - Run experiments by designing evaluation metrics, performing ablations, logging results, and iterating on models. - Optimize inference and memory footprint for models through quantization, batching, and basic distillation. - Contribute to model training pipelines, scripting, and reproducible experiments. - Work with cross-functional teams (product, infra, MLOps) to prepare prototypes for deployment. - Write clear documentation, present technical results to the team, participate in code reviews, and share knowledge. - Continuously learn by reading papers, trying new tools, and bringing fresh ideas into projects. Qualification Required: Mandatory Technical Skills: - Strong Python programming skills and familiarity with ML tooling such as numpy, pandas, and scikit-learn. - Hands-on experience (2+ years) with PyTorch and/or TensorFlow for model development and fine-tuning. - Solid understanding of classical ML & DL concepts including supervised/unsupervised learning, optimization, CNNs, RNNs/LSTMs, and Transformers. - Good knowledge of algorithms & data structures, numerical stability, and computational complexity. - Practical experience in fine-tuning open models like Hugging Face Transformers, LLaMA family, BLOOM, Mistral, or similar. - Familiarity with PEFT approaches (LoRA, adapters, QLoRA basics) and simple efficiency techniques like mixed precision and model quantization. - Comfortable with running experiments, logging using tools like Weights & Biases and MLflow, and reproducing results. - Exposure to at least one cloud ML environment (GCP Vertex AI, AWS SageMaker, or Azure AI) for training or deployment tasks. - Good communication skills for documenting experiments and collaborating with product/infra teams. Highly Desirable / Preferred Skills: - Experience with multimodal training pipelines or cross-modal loss functions. - Familiarity with MLOps concepts such as model packaging, CI/CD for models, and basic monitoring. - Experience with tools like DeepSpeed, Accelerate, Ray, or similar distributed/efficiency libraries. - Knowledge of LangGraph / Autogen / CrewAI or interest in agentic systems. - Experience with BigQuery / Synapse or data warehousing for analytics. - Publications, open-source contributions, or sample projects demonstrating model work (GitHub, Colabs, demos). - Awareness of AI safety and responsible-AI best practices. (Note: Additional details about the company were not provided in the job description.),